摘要
通过分析铲运机工作要求,建立了铲运机正转六杆机构的数学模型。综合Powell法和微粒群算法(PSO)的优点,提出了一种适合该模型的Powell-PSO混合算法,并运用MATLAB编程实现。测试结果表明:Powell-PSO混合算法不仅克服了Powell法对初始值的依赖,改进了微粒群算法(PSO)对该类复杂问题收敛较慢的缺点,而且在计算效率和收敛精度之间达到一个较好的平衡。由设计结果利用ADAMS进行仿真,结果表明利用该算法优化后的工作装置在整个工作过程中很好满足卸载性、自动放平等铲运机的设计要求,特别是很大程度提高平移性。
A mathematical model of the positive rotation six connecting rod machine on the base of LHD job Requirement is constructed. The Powell-PSO hybrid algorithm is proposed which synthesize both advantages of the Powell Conjugate Direction Method and the Particle Swarm Optimization Algorithm （PSO）. Then the six connecting rod machine is designed in the MATLAB environment. The experiment results show that the Powell-PSO Hybrid Algorithm not only overcomes the Powell conjugate direction method＇s shortcoming about its strong dependence on initial value, but also improves the disadvantage of the PSO＇s slow convergence on the complex problem. It makes a balance between the computational efficiency and the convergence accuracy. Simulate the design result by the ADAMS software, and the result satisfies all of kinematics request of LHD shovel ： the bucket could be set level automatically and so on . Especially, the good translation is improved at a large extent.
出处
《机械设计与研究》
CSCD
北大核心
2010年第1期28-31,共4页
Machine Design And Research
